Product Lead, Reporting and Analytics

At Rippling, Product turns deep technical infrastructure into simple, powerful products for our customers. As Product Lead for Reporting and Analytics, you will own the product experiences and platform foundations that help customers understand what is happening across their business and take action on it.

This role sits within Rippling's Data Cloud strategy. Rippling brings together first-party, third-party, and customer-created data across HR, IT, Finance, Payroll, Recruiting, and external systems. Your job is to make that data useful:
We're building an AI first, agentic analytics product. Customers should be able to ask questions in natural language, create and explore reports,understand what changed, and rely on agents to monitor important metrics and recommend next steps.

In this role you will be at the forefront of shaping the next generation of AI-powered analytics for both first party and third party application data in a single platform!

• Own the vision, strategy, roadmap, and execution for AI powered Reporting and Analytics within Rippling's Data Cloud.
• Define how reporting works across Rippling, including AI-generated reports, agentic pro-active insights delivery, pre-built reports, customizable reports, and embedding reports in various surfaces of the overall Rippling app
• Lead the next generation of agentic analytics: answering questions, explaining trends, monitoring metrics, surfacing meaningful changes, and recommending actions.
• Partner with Data Catalog to ensure reporting experiences can understand the meaning of data, find the right source, and present trusted answers.
• Collaborate with product teams across Payroll, Recruiting, HR, IT, Finance, and other Rippling applications to understand reporting needs and identify platform patterns that should be solved centrally.
• Enable third-party developers and internal teams to define, package, and ship analytics products or reports for customers.
• Work closely with engineering teams in San Francisco and Seattle, as well as cross-functional partners across Product, Design, AI, Data Catalog, Developer Platform, and native application teams.
• Work directly with enterprise and mid-market customers to understand their reporting workflows, validate product direction, drive adoption, and measure customer value.
• Use AI in your own work every day to synthesize research, explore data, prototype experiences, draft requirements, and test ideas faster. Apply your judgment to verify outputs and make product decisions.
• Translate ambiguous customer and platform needs into clear jobs-to-be-done, product requirements, milestones, trade-offs, and launch plans.

• 5+ years of product management experience, with a track record of shipping complex B2B products to external customers.
• Deep experience in analytics, reporting, BI, data platforms, data products, or adjacent customer-facing data products.
• Experience building products customers paid for and used directly; internal-only data tooling, analytics implementation, or dashboard-building experience alone is not sufficient.
• Strong product judgment for data-heavy workflows, including how business users think about metrics, reports, permissions, data quality, and decision‑making.
• Technical fluency in data modeling, querying, metrics, semantic layers, permissions, and platform trade‑offs, with the ability to work deeply with engineering.
• Strong systems thinking and the ability to connect reporting needs across many products without creating one‑off solutions for every team.
• Excellent customer and UX judgment, with the ability to make sophisticated analysis feel simple, intuitive, and trustworthy.
• AI fluency and curiosity, especially around how agents can investigate…